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Postdoctoral position. This position is available to individuals with research interests in applications of machine learning and artificial intelligence to wearable sensor data for nutrition research. Publishes
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and dissemination of project findings. Duties are specifically related to research activities, require an advanced level of knowledge in a field of science or learning, are predominantly intellectual
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to research activities, require an advanced level of knowledge in a field of science or learning, are predominantly intellectual and varied in character, and require consistent use of discretion and judgment
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documents to the “other documents” tab as needed. Skills and Knowledge: Experience in computational catalysis and surface science. Preferred Qualifications: Knowledge of kinetic modeling and/or machine
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and validation. Background in statistical analysis and machine learning. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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high-performance computing, artificial intelligence, machine learning, remote sensing, and cloud computing. The ideal candidate will complement process and computational hydrologists at UA by bringing
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physics, artificial intelligence and machine learning, and precision timing and navigation. The College and the Department of Physics and Astronomy will establish a series of structured merit-based